Title :
Rotation Invariant Detection Using Image Identifier
Author :
Ishikawa, Takaaki ; Je-Ho Park
Author_Institution :
JuGeMu Co., Ltd., Tokyo, Japan
Abstract :
When identification metadata for images in a massive database contains necessary information for detection of rotation of an image, it would be quite efficient in terms of image database management and detection of duplicated images. In this paper, we discuss how the image identifiers can be used for detection of rotated duplicates of an image and provide the experimental results. From the experimental evaluation, we conjecture that our proposed image identifier can be utilized for the given objective effectively.
Keywords :
meta data; object detection; visual databases; duplicated image detection; identification metadata; image database management; image identifier; rotation invariant detection; Discrete cosine transforms; Feature extraction; Image databases; Image edge detection; Image segmentation; Standards; Vectors;
Conference_Titel :
IT Convergence and Security (ICITCS), 2014 International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ICITCS.2014.7021807
